Senior Generative AI Engineer

Ahdus technology; Islamabad; On-site; PKR 3,000,000 - 5,200,000; Full time

Job summary

Ahdus Technology in Islamabad is seeking a Senior Generative AI Engineer to lead the design and deployment of large-scale generative models, including GPT-like systems and diffusion models.

You will build end-to-end training and inference pipelines, optimize performance, assess outputs for quality and safety, and mentor junior engineers while collaborating with product teams to deliver AI-powered features.

Qualifications

• Master’s or PhD in Computer Science, ML, or AI.
• 4+ years hands-on ML experience, with at least 2 years in generative models.
• Strong understanding of transformer architectures, diffusion models, embeddings, and prompt engineering.
• Proficiency in Python and DL frameworks (PyTorch or TensorFlow).
• Experience deploying models, optimizing via quantization/distillation, and cloud AI tools.
• Familiarity with data curation, synthetic data generation, and AI ethics.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Design and implement generative AI models (e.g., GPT, Stable Diffusion, VAEs, GANs) for various use cases.
• Fine-tune and optimize large language models using LoRA, PEFT, or RLHF.
• Collaborate with product and research teams to turn ideas into working AI-powered features.
• Develop scalable training and inference pipelines using modern ML infrastructure.
• Analyze model outputs for quality, bias, and safety, and implement necessary safeguards.
• Stay up to date with the latest research in generative AI and apply state-of-the-art techniques.
• Lead and mentor junior engineers and contribute to architectural decisions.

Skills

Python

PyTorch

TensorFlow

LLMs

Transformer

Diffusion models

Prompt engineering

Cloud deployment

Quantization

Distillation

Cross-functional comms

Education

Master's or PhD in CS/ML/AI

Tools

OpenAI

Hugging Face

Docker

Kubernetes

Job description

About the job Senior Generative AI Engineer

About the Role:
We are looking for a Senior Generative AI Engineer to lead the design and development of cutting-edge generative AI systems that produce human‑like content such as text, images, code, and audio. You will play a key role in building and deploying large‑scale models (e.g., LLMs, diffusion models), optimizing performance, and integrating them into real‑world applications.

Key Responsibilities:

• Design and implement generative AI models (e.g., GPT, Stable Diffusion, VAEs, GANs) for various use cases.
• Fine‑tune and optimize large language models (LLMs) using techniques like LoRA, PEFT, or RLHF.
• Collaborate with product and research teams to turn ideas into working AI‑powered features.
• Develop scalable training and inference pipelines using modern ML infrastructure.
• Analyze model outputs for quality, bias, and safety, and implement necessary safeguards.
• Stay up to date with the latest research in generative AI and apply state‑of‑the‑art techniques.
• Lead and mentor junior engineers and contribute to architectural decisions.

Requirements:

• Master’s or PhD in Computer Science, Machine Learning, AI, or related field.
• 4+ years of hands‑on experience in machine learning, with at least 2 years in generative models.
• Deep understanding of transformer architectures, diffusion models, embeddings, and prompt engineering.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Experience with model deployment, optimization (e.g., quantization, distillation), and cloud AI tools.
• Familiarity with data curation, synthetic data generation, and ethical considerations in generative AI.
• Excellent communication skills and ability to work cross‑functionally.

Nice to Have:

• Experience with OpenAI, Hugging Face, or similar platforms.
• Contributions to generative AI research or open‑source projects.
• Experience with multimodal models (text+image, text+audio, etc.).